Modern Chinese Vocabulary – Morpheme and Word

Inferring Word-Meaning, Morpheme-Based, and Word-Based Second Language Vocabulary Teaching Methodologies

Morpheme-Enhanced Spectral Word Embedding

Traditional word embedding models only learn word-level semantic information from corpus while neglect the valuable semantic information of words’ internal structures such as morphemes. To address this problem, the goal of this paper is to exploit the morphological information to enhance the quality of word embeddings. Based on spectral method, we propose two word embedding models: Morpheme on ...

Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics

Morphologically rich languages pose a challenge to the annotators of treebanks with respect to the status of orthographic (spacedelimited) words in the syntactic parse trees. In such languages an orthographic word may carry various, distinct, sorts of information and the question arises whether we should represent such words as a sequence of their constituent morphemes (i.e., a Morpheme-Based a...

Word Type Effects on L2 Word Retrieval and Learning: Homonym versus Synonym Vocabulary Instruction

The purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their Persian meanings. A total of 73 Iranian language learners studying English translation participated in the study. For the first purpose, 36 freshmen from an ...

Large Vocabulary Continuous Speech Recognition for Estonian Using Morpheme Classes

This paper describes development of a large vocabulary continuous speaker independent speech recognition system for Estonian. Estonian is an agglutinative language and the number of different word forms is very large, in addition, the word order is relatively unconstrained. To achieve a good language coverage, we use pseudo-morphemes as basic units in a statistical trigram language model. To im...